Verifiable and private AI @near_ai provides not just privacy for people and businesses but also a safety tool. Every interaction hashed and signed with attestation of exactly prompt and code/model run creating a provenance log useful for monitoring and forensics. No more agents rewriting their own logs, not knowing which exact model or quantization was used post factum, routers switching things mid stream, and many other vectors. Out of process inspection (like Jev classifier model) can scan attested logs for any suspicious behavior: not just model behavior but also policy violation or security incidents.